TensorFlow Lite in Android with Google Play Services

Explore TensorFlow Lite integration in Android using Google Play services in this 46-minute talk by He Jiang. Discover how to run ML models without statically bundling TensorFlow Lite libraries, reducing app size and improving performance. Learn about the Early Access Program, sample app implementation, dependencies, classes, initialization, and Interpreter API. Gain insights on moving models to GPU, performance optimization, language support including Java, and API delegates. Understand the benefits and practical applications of TensorFlow Lite in Android development for efficient machine learning deployment.

Introduction
What is TensorFlow Lite
Benefits
Early Access Program
Sample App
Dependencies
Classes
Initialization
Interpreter API
Dependency
move model to GPU
performance
languages support
Java support
API delegate
Optimization
Language support